From e914004cc213168e2f924a7fde9b48450c4daaa2 Mon Sep 17 00:00:00 2001
From: Le Stagiaire <f.goussot@outlook.com>
Date: Tue, 28 May 2024 11:56:09 +0200
Subject: [PATCH] feat: Update A-Scan filters page with new options and input
 field

---
 3D_app/pages/ascan.py | 59 +++++++++++++++++++++++++++++++++----------
 1 file changed, 45 insertions(+), 14 deletions(-)

diff --git a/3D_app/pages/ascan.py b/3D_app/pages/ascan.py
index 22d4b83..a714734 100644
--- a/3D_app/pages/ascan.py
+++ b/3D_app/pages/ascan.py
@@ -12,16 +12,16 @@ dash.register_page(
 )
 
 # on définit le dossier et les fichiers à lire
-# dossier = "Dataset/Shear_transform"
-# fichiers_selectionnes = [
-#     "Shear_x001-x101_y{:03d}_Rot00_transform.csv".format(i) for i in range(10, 14)
-# ]
+dossier = "Dataset/Shear_transform"
+fichiers_selectionnes = [
+    "Shear_x001-x101_y{:03d}_Rot00_transform.csv".format(i) for i in range(10, 14)
+]
 
 # on charge le fichier numpy
 fichiers = np.load("Dataset/npy/3D_Dataset_Long_Wave_Rot00.npy")
 
 # on lit les fichiers et on les met dans un tableau
-pre_volume = np.array(fichiers)
+pre_volume = np.array(lire_fichier_csv(dossier, fichiers_selectionnes))
 volume = pre_volume[:, ::32, :]
 dim_z, dim_x, dim_y = volume.shape
 
@@ -43,13 +43,31 @@ configAScan = {
 
 layout = html.Div(
     [
-        dbc.Select(
-            id="select-ascan-filter",
-            options=[
-                {"label": "Option 1", "value": "1"},
-                {"label": "Option 2", "value": "2"},
-            ],
-            style={"margin-bottom": "15px"},
+        dbc.Row(
+            [
+                dbc.Col(
+                    [
+                        dbc.Select(
+                            id="select-ascan-filter",
+                            options=[
+                                {"label": "Option 1", "value": "1"},
+                                {"label": "Option 2", "value": "2"},
+                            ],
+                            style={"margin-bottom": "15px"},
+                        ),
+                    ]
+                ),
+                dbc.Col(
+                    [
+                        dbc.Button(
+                            id="button-validate-filter",
+                            children="Valider",
+                            color="primary",
+                            style={"marginBottom": "15px"},
+                        ),
+                    ]
+                ),
+            ]
         ),
         dbc.Checklist(
             options=[
@@ -73,6 +91,13 @@ layout = html.Div(
                 str(i): str(i) for i in range(1, dim_x + 1, max(1, int(dim_x / 20)))
             },
         ),
+        dbc.Input(
+            id="input-ascan-solo",
+            type="number",
+            placeholder="Valeurs",
+            step=0.1,
+            style={"marginTop": "15px"},
+        ),
     ],
     style={"padding": "20px"},
 )
@@ -81,9 +106,15 @@ layout = html.Div(
 # callback to update the heatmap
 @callback(
     Output("heatmap-ascan-solo", "figure"),
-    [Input("select-ascan-filter", "value"), Input("layer-slider-ascan-solo", "value"), Input("absolute-values-ascan", "value")],
+    [
+        Input("select-ascan-filter", "value"),
+        Input("layer-slider-ascan-solo", "value"),
+        Input("absolute-values-ascan", "value"),
+        Input("button-validate-filter", "n_clicks"),
+        Input("input-ascan-solo", "value"),
+    ],
 )
-def update_heatmap_ascan(value, layer, absolute_values):
+def update_heatmap_ascan(filter, layer, absolute_values, n_clicks, input_value):
     # TODO: implement the filter
 
     fig = px.line(y=volume[layer - 1, :, 5], title="A-scan")